Stokka v. Stokka
SC North Dakota · May 7, 2026
What happened in this matter?
The Supreme Court of North Dakota sanctioned a pro se appellant $1,000 in double costs and attorney's fees for submitting an appellate brief containing fictitious or nonexistent legal authorities, which the court identified as likely AI hallucinations, and for failing to comply with mandatory appellate briefing requirements.
- Why the court cared
- The court reasoned that the appellant's brief failed to meet the minimum requirements of N.D.R.App.P. 28 by omitting references to the evidentiary record and citing fictitious or nonexistent authorities, which the court characterized as likely AI hallucinations, warranting summary affirmance and monetary sanctions.
- Why it matters now
- This case illustrates the judiciary's increasing intolerance for AI-generated hallucinations in legal filings. It serves as a warning that pro se litigants and counsel alike face summary affirmance and monetary sanctions when briefs rely on fictitious authorities rather than verified legal research.
Why this matter is tracked
In Stokka v. Stokka, the Supreme Court of North Dakota summarily affirmed a district court judgment in a divorce and custody proceeding. The appellant, appearing pro se, submitted a brief that failed to comply with N.D.R.App.P. 28, specifically lacking references to the evidentiary record and relying on legal authorities that the court identified as irrelevant, fictitious, or nonexistent. The court noted that such citations are typically the result of AI hallucinations. Due to these briefing deficiencies and the inclusion of fabricated authorities, the court summarily affirmed the lower court's judgment and imposed a sanction of double costs and attorney's fees in the amount of $1,000 against the appellant.
This case illustrates the judiciary's increasing intolerance for AI-generated hallucinations in legal filings. It serves as a warning that pro se litigants and counsel alike face summary affirmance and monetary sanctions when briefs rely on fictitious authorities rather than verified legal research.
Record details
What the record establishes about AI use
Court identified citations as likely AI hallucinations.
Appeal from the District Court of Cass County to the Supreme Court of North Dakota; summary affirmance under N.D.R.App.P. 35.1(a)(8) with monetary sanctions.
Correction behavior is not separately verified in the current record.
Tracked discrepancy record
1 citation, quotation, or authority issues are recorded in the source dataset.
- Fabricated: Case Law | Appellant's brief cited multiple irrelevant, fictitious, or nonexistent legal authorities; the court identified these as likely AI hallucinations.
Questions this record answers
- What happened in Stokka v. Stokka?
- The Supreme Court of North Dakota sanctioned a pro se appellant $1,000 in double costs and attorney's fees for submitting an appellate brief containing fictitious or nonexistent legal authorities, which the court identified as likely AI hallucinations, and for failing to comply with mandatory appellate briefing requirements.
- Why does Stokka v. Stokka matter for legal AI risk?
- This case illustrates the judiciary's increasing intolerance for AI-generated hallucinations in legal filings. It serves as a warning that pro se litigants and counsel alike face summary affirmance and monetary sanctions when briefs rely on fictitious authorities rather than verified legal research.
- What does the public record establish about Stokka v. Stokka?
- The record summarizes the outcome described in the linked public source. The recorded document is hosted in the upstream publisher archive. This page is not a substitute for the complete docket, subsequent history, or jurisdiction-specific advice.
- Which source supports this Stokka v. Stokka summary?
- The recorded source is Damien Charlotin case archive. It is classified as publisher document archive; review the linked material and subsequent docket history before relying on this summary.
Related matters
Related by court, jurisdiction, tool, or classified failure pattern. Similarity does not imply the same facts or outcome.